Track 1: Artificial Intelligence & Machine Learning
Parallel Tracks:Machine Learning Algorithms and Applications
Deep Learning Architectures
Explainable and Interpretable AI
Reinforcement Learning
Generative AI Models
Transfer and Federated Learning
Optimization Techniques in AI
AI for Decision Support Systems
Hybrid AI Systems
AI Performance Evaluation and Benchmarking
Track 2: Robotics & Autonomous Systems
Parallel Tracks:Autonomous Robot Design
Human–Robot Interaction
Mobile and Aerial Robotics
Swarm Robotics
Robot Perception and Sensing
Control Systems for Robotics
Learning-Based Robotics
Industrial and Service Robots
Medical and Rehabilitation Robotics
Ethical and Safety Issues in Robotics
Track 3: Computer Vision & Image Processing
Parallel Tracks:Image and Video Analysis
Object Detection and Recognition
Medical Image Processing
3D Vision and Reconstruction
Multimodal Vision Systems
Vision-Based Robotics
Facial and Gesture Recognition
Remote Sensing and Vision
Vision Transformers
Real-Time Vision Applications
Track 4: Natural Language Processing & Speech Technologies
Parallel Tracks:Language Models and Transformers
Speech Recognition and Synthesis
Multilingual and Low-Resource NLP
Sentiment and Emotion Analysis
Conversational AI Systems
Information Extraction and Retrieval
Text Mining and Summarization
Speech Emotion Recognition
NLP for Social Media Analysis
Ethical Challenges in NLP
Track 5: Data Science & Intelligent Analytics
Parallel Tracks:Big Data Analytics
Data Mining Techniques
Time Series Analysis
Predictive Analytics
Data Visualization and Visual Analytics
Intelligent Recommendation Systems
Knowledge Discovery from Data
AI-Driven Business Analytics
Streaming Data Processing
Privacy-Aware Data Analytics
Track 6: Electronics, Embedded Systems & IoT
Parallel Tracks:Smart Embedded Systems
AI on Edge Devices
Internet of Things Architectures
Sensor Networks
Low-Power and Energy-Efficient Systems
Hardware Acceleration for AI
Cyber-Physical Systems
FPGA and ASIC Based AI Systems
Intelligent Control Electronics
Secure Embedded Systems
Track 7: Cognitive Science & Computational Intelligence
Parallel Tracks:Computational Models of Cognition
Brain-Inspired Computing
Cognitive Robotics
Learning and Memory Models
Perception and Attention Mechanisms
Neural and Cognitive Architectures
Human Cognition and AI
Emotion and Affective Computing
Cognitive Decision-Making Systems
Neurosymbolic Intelligence
Track 8: Human-Centered AI & Interaction
Parallel Tracks:Human–AI Collaboration
User-Centered Intelligent Systems
Trust and Transparency in AI
Adaptive User Interfaces
Affective and Emotional AI
Intelligent Assistive Technologies
Socially Aware AI Systems
Accessibility and Inclusive AI
UX Design for AI Systems
Ethical Human-Centered Design
Track 9: AI in Engineering, Health & Smart Systems
Parallel Tracks:AI in Healthcare Systems
Biomedical Signal Processing
Smart Cities and Infrastructure
Intelligent Transportation Systems
AI for Energy Systems
AI in Manufacturing and Industry 4.0
Smart Agriculture Technologies
AI-Based Environmental Monitoring
Wearable and Smart Devices
Decision Support in Engineering Systems
Track 10: Ethics, Security & Future AI Technologies
Parallel Tracks:AI Ethics and Responsible AI
Fairness and Bias in AI
AI Security and Adversarial Attacks
Privacy-Preserving AI
AI Governance and Regulations
Trustworthy AI Systems
Sustainable AI Technologies
Quantum AI and Computing
Emerging AI Paradigms
Future Trends in Intelligent Systems